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              <p class="caption" role="heading"><span class="caption-text">Getting Started</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../getting_started/installation.html">Installation</a></li>
<li class="toctree-l1"><a class="reference internal" href="../getting_started/jetpack.html">Torch-TensorRT in JetPack</a></li>
<li class="toctree-l1"><a class="reference internal" href="../getting_started/quick_start.html">Quick Start</a></li>
<li class="toctree-l1"><a class="reference internal" href="../getting_started/capture_and_replay.html">Introduction</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">User Guide</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../user_guide/torch_tensorrt_explained.html">Torch-TensorRT Explained</a></li>
<li class="toctree-l1"><a class="reference internal" href="../user_guide/dynamic_shapes.html">Dynamic shapes with Torch-TensorRT</a></li>
<li class="toctree-l1"><a class="reference internal" href="../user_guide/saving_models.html">Saving models compiled with Torch-TensorRT</a></li>
<li class="toctree-l1"><a class="reference internal" href="../user_guide/runtime.html">Deploying Torch-TensorRT Programs</a></li>
<li class="toctree-l1"><a class="reference internal" href="../user_guide/using_dla.html">DLA</a></li>
<li class="toctree-l1"><a class="reference internal" href="../user_guide/mixed_precision.html">Compile Mixed Precision models with Torch-TensorRT</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">Tutorials</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/_rendered_examples/dynamo/torch_compile_advanced_usage.html">Torch Compile Advanced Usage</a></li>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/_rendered_examples/dynamo/vgg16_ptq.html">Deploy Quantized Models using Torch-TensorRT</a></li>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/_rendered_examples/dynamo/engine_caching_example.html">Engine Caching</a></li>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/_rendered_examples/dynamo/engine_caching_bert_example.html">Engine Caching (BERT)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/_rendered_examples/dynamo/refit_engine_example.html">Refitting Torch-TensorRT Programs with New Weights</a></li>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/serving_torch_tensorrt_with_triton.html">Serving a Torch-TensorRT model with Triton</a></li>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/_rendered_examples/dynamo/torch_export_cudagraphs.html">Torch Export with Cudagraphs</a></li>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/_rendered_examples/dynamo/converter_overloading.html">Overloading Torch-TensorRT Converters with Custom Converters</a></li>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/_rendered_examples/dynamo/custom_kernel_plugins.html">Using Custom Kernels within TensorRT Engines with Torch-TensorRT</a></li>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/_rendered_examples/dynamo/auto_generate_converters.html">Automatically Generate a Converter for a Custom Kernel</a></li>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/_rendered_examples/dynamo/auto_generate_plugins.html">Automatically Generate a Plugin for a Custom Kernel</a></li>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/_rendered_examples/dynamo/mutable_torchtrt_module_example.html">Mutable Torch TensorRT Module</a></li>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/_rendered_examples/dynamo/weight_streaming_example.html">Weight Streaming</a></li>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/_rendered_examples/dynamo/pre_allocated_output_example.html">Pre-allocated output buffer</a></li>
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<p class="caption" role="heading"><span class="caption-text">Dynamo Frontend</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../dynamo/torch_compile.html">TensorRT Backend for <code class="docutils literal notranslate"><span class="pre">torch.compile</span></code></a></li>
<li class="toctree-l1"><a class="reference internal" href="../dynamo/dynamo_export.html">Compiling Exported Programs with Torch-TensorRT</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">TorchScript Frontend</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../ts/creating_torchscript_module_in_python.html">Creating a TorchScript Module</a></li>
<li class="toctree-l1"><a class="reference internal" href="../ts/creating_torchscript_module_in_python.html#working-with-torchscript-in-python">Working with TorchScript in Python</a></li>
<li class="toctree-l1"><a class="reference internal" href="../ts/creating_torchscript_module_in_python.html#saving-torchscript-module-to-disk">Saving TorchScript Module to Disk</a></li>
<li class="toctree-l1"><a class="reference internal" href="../ts/getting_started_with_python_api.html">Using Torch-TensorRT in Python</a></li>
<li class="toctree-l1"><a class="reference internal" href="../ts/getting_started_with_cpp_api.html">Using Torch-TensorRT in  C++</a></li>
<li class="toctree-l1"><a class="reference internal" href="../ts/ptq.html">Post Training Quantization (PTQ)</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">FX Frontend</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../fx/getting_started_with_fx_path.html">Torch-TensorRT (FX Frontend) User Guide</a></li>
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<p class="caption" role="heading"><span class="caption-text">Model Zoo</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/_rendered_examples/dynamo/torch_compile_resnet_example.html">Compiling ResNet with dynamic shapes using the <cite>torch.compile</cite> backend</a></li>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/_rendered_examples/dynamo/torch_compile_transformers_example.html">Compiling BERT using the <cite>torch.compile</cite> backend</a></li>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/_rendered_examples/dynamo/torch_compile_stable_diffusion.html">Compiling Stable Diffusion model using the <cite>torch.compile</cite> backend</a></li>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/compile_hf_models.html">Compiling LLM models from Huggingface</a></li>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/_rendered_examples/dynamo/torch_compile_gpt2.html">Compiling GPT2 using the Torch-TensorRT <code class="docutils literal notranslate"><span class="pre">torch.compile</span></code> frontend</a></li>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/_rendered_examples/dynamo/torch_export_sam2.html">Compiling SAM2 using the dynamo backend</a></li>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/_rendered_examples/dynamo/torch_export_flux_dev.html">Compiling FLUX.1-dev model using the Torch-TensorRT dynamo backend</a></li>
<li class="toctree-l1"><a class="reference internal" href="../tutorials/notebooks.html">Legacy notebooks</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">Python API Documentation</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../py_api/torch_tensorrt.html">torch_tensorrt</a></li>
<li class="toctree-l1"><a class="reference internal" href="../py_api/dynamo.html">torch_tensorrt.dynamo</a></li>
<li class="toctree-l1"><a class="reference internal" href="../py_api/logging.html">torch_tensorrt.logging</a></li>
<li class="toctree-l1"><a class="reference internal" href="../py_api/fx.html">torch_tensorrt.fx</a></li>
<li class="toctree-l1"><a class="reference internal" href="../py_api/ts.html">torch_tensorrt.ts</a></li>
<li class="toctree-l1"><a class="reference internal" href="../py_api/ptq.html">torch_tensorrt.ts.ptq</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">C++ API Documentation</span></p>
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<li class="toctree-l1 current"><a class="reference internal" href="torch_tensort_cpp.html">Torch-TensorRT C++ API</a></li>
<li class="toctree-l1"><a class="reference internal" href="namespace_torch_tensorrt.html">Namespace torch_tensorrt</a></li>
<li class="toctree-l1"><a class="reference internal" href="namespace_torch_tensorrt__logging.html">Namespace torch_tensorrt::logging</a></li>
<li class="toctree-l1"><a class="reference internal" href="namespace_torch_tensorrt__torchscript.html">Namespace torch_tensorrt::torchscript</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">CLI Documentation</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../cli/torchtrtc.html">torchtrtc</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">Contributor Documentation</span></p>
<ul>
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  <section id="class-device-devicetype">
<span id="exhale-class-classtorch-tensorrt-1-1device-1-1devicetype"></span><h1>Class Device::DeviceType<a class="headerlink" href="#class-device-devicetype" title="Permalink to this heading">¶</a></h1>
<ul class="simple">
<li><p>Defined in <a class="reference internal" href="file_cpp_include_torch_tensorrt_torch_tensorrt.h.html#file-cpp-include-torch-tensorrt-torch-tensorrt-h"><span class="std std-ref">File torch_tensorrt.h</span></a></p></li>
</ul>
<section id="nested-relationships">
<h2>Nested Relationships<a class="headerlink" href="#nested-relationships" title="Permalink to this heading">¶</a></h2>
<p>This class is a nested type of <a class="reference internal" href="structtorch__tensorrt_1_1Device.html#exhale-struct-structtorch-tensorrt-1-1device"><span class="std std-ref">Struct Device</span></a>.</p>
</section>
<section id="class-documentation">
<h2>Class Documentation<a class="headerlink" href="#class-documentation" title="Permalink to this heading">¶</a></h2>
<dl class="cpp class">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt6Device10DeviceTypeE">
<span class="target" id="classtorch__tensorrt_1_1Device_1_1DeviceType"></span><span class="k"><span class="pre">class</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">DeviceType</span></span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt6Device10DeviceTypeE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Supported <a class="reference internal" href="structtorch__tensorrt_1_1Device.html#structtorch__tensorrt_1_1Device"><span class="std std-ref">Device</span></a> Types that can be used with TensorRT engines</p>
<p>This class is compatable with c10::DeviceTypes (but will check for TRT support) but the only applicable value is at::kCUDA, which maps to <a class="reference internal" href="structtorch__tensorrt_1_1Device.html#classtorch__tensorrt_1_1Device_1_1DeviceType_1a23c188ccbece0f27609e8b1c7bf7e350a7096aeeb6744e578d5afd98e334f866c"><span class="std std-ref">DeviceType::kGPU</span></a></p>
<p>To use the <a class="reference internal" href="classtorch__tensorrt_1_1DataType.html#classtorch__tensorrt_1_1DataType"><span class="std std-ref">DataType</span></a> class itself, interface using the enum vs. normal instatination</p>
<p>ex. torch_tensorrt::DeviceType type = <a class="reference internal" href="structtorch__tensorrt_1_1Device.html#classtorch__tensorrt_1_1Device_1_1DeviceType_1a23c188ccbece0f27609e8b1c7bf7e350a7096aeeb6744e578d5afd98e334f866c"><span class="std std-ref">DeviceType::kGPU</span></a>; </p>
<div class="breathe-sectiondef docutils container">
<p class="breathe-sectiondef-title rubric" id="breathe-section-title-public-types">Public Types</p>
<dl class="cpp enum">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt6Device10DeviceType5ValueE">
<span class="target" id="classtorch__tensorrt_1_1Device_1_1DeviceType_1a23c188ccbece0f27609e8b1c7bf7e350"></span><span class="k"><span class="pre">enum</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">Value</span></span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt6Device10DeviceType5ValueE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Underlying enum class to support the <a class="reference internal" href="structtorch__tensorrt_1_1Device.html#classtorch__tensorrt_1_1Device_1_1DeviceType"><span class="std std-ref">DeviceType</span></a> Class</p>
<p>In the case that you need to use the <a class="reference internal" href="structtorch__tensorrt_1_1Device.html#classtorch__tensorrt_1_1Device_1_1DeviceType"><span class="std std-ref">DeviceType</span></a> class itself, interface using this enum vs. normal instatination</p>
<p>ex. torch_tensorrt::DeviceType type = <a class="reference internal" href="structtorch__tensorrt_1_1Device.html#classtorch__tensorrt_1_1Device_1_1DeviceType_1a23c188ccbece0f27609e8b1c7bf7e350a7096aeeb6744e578d5afd98e334f866c"><span class="std std-ref">DeviceType::kGPU</span></a>; </p>
<p><em>Values:</em></p>
<dl class="cpp enumerator">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt6Device10DeviceType5Value4kGPUE">
<span class="target" id="classtorch__tensorrt_1_1Device_1_1DeviceType_1a23c188ccbece0f27609e8b1c7bf7e350a7096aeeb6744e578d5afd98e334f866c"></span><span class="k"><span class="pre">enumerator</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">kGPU</span></span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt6Device10DeviceType5Value4kGPUE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Target GPU to run engine. </p>
</dd></dl>

<dl class="cpp enumerator">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt6Device10DeviceType5Value4kDLAE">
<span class="target" id="classtorch__tensorrt_1_1Device_1_1DeviceType_1a23c188ccbece0f27609e8b1c7bf7e350aa13fb3ec20096f0d0c205b67ca05c98e"></span><span class="k"><span class="pre">enumerator</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">kDLA</span></span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt6Device10DeviceType5Value4kDLAE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Target DLA to run engine. </p>
</dd></dl>

</dd></dl>

</div>
<div class="breathe-sectiondef docutils container">
<p class="breathe-sectiondef-title rubric" id="breathe-section-title-public-functions">Public Functions</p>
<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt6Device10DeviceType10DeviceTypeEv">
<span class="target" id="classtorch__tensorrt_1_1Device_1_1DeviceType_1afe573ee91b95b81be8a0f1503a00ca45"></span><span class="sig-name descname"><span class="n"><span class="pre">DeviceType</span></span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="k"><span class="pre">default</span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt6Device10DeviceType10DeviceTypeEv" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Construct a new <a class="reference internal" href="structtorch__tensorrt_1_1Device.html#structtorch__tensorrt_1_1Device"><span class="std std-ref">Device</span></a> Type object. </p>
</dd></dl>

<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt6Device10DeviceType10DeviceTypeE5Value">
<span class="target" id="classtorch__tensorrt_1_1Device_1_1DeviceType_1a5a7e6c4eb98321bd53869a8ec08e2a2c"></span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><span class="k"><span class="pre">constexpr</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">DeviceType</span></span></span><span class="sig-paren">(</span><a class="reference internal" href="#_CPPv4N14torch_tensorrt6Device10DeviceType5ValueE" title="torch_tensorrt::Device::DeviceType::Value"><span class="n"><span class="pre">Value</span></span></a><span class="w"> </span><span class="n sig-param"><span class="pre">t</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N14torch_tensorrt6Device10DeviceType10DeviceTypeE5Value" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Construct a new <a class="reference internal" href="structtorch__tensorrt_1_1Device.html#structtorch__tensorrt_1_1Device"><span class="std std-ref">Device</span></a> Type object from internal enum. </p>
</dd></dl>

<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt6Device10DeviceType10DeviceTypeEN3c1010DeviceTypeE">
<span class="target" id="classtorch__tensorrt_1_1Device_1_1DeviceType_1a499573dd56df8fa1479dcec95dfda711"></span><span class="sig-name descname"><span class="n"><span class="pre">DeviceType</span></span></span><span class="sig-paren">(</span><span class="n"><span class="pre">c10</span></span><span class="p"><span class="pre">::</span></span><span class="n"><span class="pre">DeviceType</span></span><span class="w"> </span><span class="n sig-param"><span class="pre">t</span></span><span class="sig-paren">)</span><a class="headerlink" href="#_CPPv4N14torch_tensorrt6Device10DeviceType10DeviceTypeEN3c1010DeviceTypeE" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Construct a new <a class="reference internal" href="structtorch__tensorrt_1_1Device.html#structtorch__tensorrt_1_1Device"><span class="std std-ref">Device</span></a> Type object from torch device enums Note: The only valid value is torch::kCUDA (torch::kCPU is not supported) </p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>t</strong> – </p>
</dd>
</dl>
</dd></dl>

<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4NK14torch_tensorrt6Device10DeviceTypecv5ValueEv">
<span class="target" id="classtorch__tensorrt_1_1Device_1_1DeviceType_1a4afa0b396b7a076e37054754a367f2f4"></span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><span class="sig-name descname"><span class="k"><span class="pre">operator</span></span><span class="w"> </span><a class="reference internal" href="#_CPPv4N14torch_tensorrt6Device10DeviceType5ValueE" title="torch_tensorrt::Device::DeviceType::Value"><span class="n"><span class="pre">Value</span></span></a></span><span class="sig-paren">(</span><span class="sig-paren">)</span><span class="w"> </span><span class="k"><span class="pre">const</span></span><a class="headerlink" href="#_CPPv4NK14torch_tensorrt6Device10DeviceTypecv5ValueEv" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Get the internal value from the <a class="reference internal" href="structtorch__tensorrt_1_1Device.html#structtorch__tensorrt_1_1Device"><span class="std std-ref">Device</span></a> object. </p>
<dl class="field-list simple">
<dt class="field-odd">Returns</dt>
<dd class="field-odd"><p>Value </p>
</dd>
</dl>
</dd></dl>

<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4N14torch_tensorrt6Device10DeviceTypecvbEv">
<span class="target" id="classtorch__tensorrt_1_1Device_1_1DeviceType_1a1e78ae4780df8bd258ee8703a22d9a4d"></span><span class="k"><span class="pre">explicit</span></span><span class="w"> </span><span class="sig-name descname"><span class="k"><span class="pre">operator</span></span><span class="w"> </span><span class="kt"><span class="pre">bool</span></span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="k"><span class="pre">delete</span></span><a class="headerlink" href="#_CPPv4N14torch_tensorrt6Device10DeviceTypecvbEv" title="Permalink to this definition">¶</a><br /></dt>
<dd></dd></dl>

<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4NK14torch_tensorrt6Device10DeviceTypeeqE10DeviceType">
<span class="target" id="classtorch__tensorrt_1_1Device_1_1DeviceType_1a0177ee9788edabb89a8cb64234d2a60c"></span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><span class="k"><span class="pre">constexpr</span></span><span class="w"> </span><span class="kt"><span class="pre">bool</span></span><span class="w"> </span><span class="sig-name descname"><span class="k"><span class="pre">operator</span></span><span class="o"><span class="pre">==</span></span></span><span class="sig-paren">(</span><a class="reference internal" href="#_CPPv4N14torch_tensorrt6Device10DeviceTypeE" title="torch_tensorrt::Device::DeviceType"><span class="n"><span class="pre">DeviceType</span></span></a><span class="w"> </span><span class="n sig-param"><span class="pre">other</span></span><span class="sig-paren">)</span><span class="w"> </span><span class="k"><span class="pre">const</span></span><a class="headerlink" href="#_CPPv4NK14torch_tensorrt6Device10DeviceTypeeqE10DeviceType" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Comparison operator for <a class="reference internal" href="structtorch__tensorrt_1_1Device.html#classtorch__tensorrt_1_1Device_1_1DeviceType"><span class="std std-ref">DeviceType</span></a>. </p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>other</strong> – </p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>true </p>
</dd>
<dt class="field-odd">Returns</dt>
<dd class="field-odd"><p>false </p>
</dd>
</dl>
</dd></dl>

<dl class="cpp function">
<dt class="sig sig-object cpp" id="_CPPv4NK14torch_tensorrt6Device10DeviceTypeneE10DeviceType">
<span class="target" id="classtorch__tensorrt_1_1Device_1_1DeviceType_1a0d8973b436226f17597d94f4e8f63336"></span><span class="k"><span class="pre">inline</span></span><span class="w"> </span><span class="k"><span class="pre">constexpr</span></span><span class="w"> </span><span class="kt"><span class="pre">bool</span></span><span class="w"> </span><span class="sig-name descname"><span class="k"><span class="pre">operator</span></span><span class="o"><span class="pre">!=</span></span></span><span class="sig-paren">(</span><a class="reference internal" href="#_CPPv4N14torch_tensorrt6Device10DeviceTypeE" title="torch_tensorrt::Device::DeviceType"><span class="n"><span class="pre">DeviceType</span></span></a><span class="w"> </span><span class="n sig-param"><span class="pre">other</span></span><span class="sig-paren">)</span><span class="w"> </span><span class="k"><span class="pre">const</span></span><a class="headerlink" href="#_CPPv4NK14torch_tensorrt6Device10DeviceTypeneE10DeviceType" title="Permalink to this definition">¶</a><br /></dt>
<dd><p>Comparison operator for <a class="reference internal" href="structtorch__tensorrt_1_1Device.html#classtorch__tensorrt_1_1Device_1_1DeviceType"><span class="std std-ref">DeviceType</span></a>. </p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>other</strong> – </p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>true </p>
</dd>
<dt class="field-odd">Returns</dt>
<dd class="field-odd"><p>false </p>
</dd>
</dl>
</dd></dl>

</div>
</dd></dl>

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